hana

Key:

  • degere o ka pilikia; oluolu oluolu , meakino meakino , ikaika paakiki , Nui nui
  • pono makemakika ( pono makemakika )
  • pono coding ( pono coding )
  • ikepili haul ( ikepili ohi )
  • koʻu punahele ( koʻu punahele )
  1. [ meakino , ikepili ohi ] Berinsky a me nā hoapili (2012) loiloi i Mechanical Tureke i ka loa ma ka replicating ekolu Kuʻuna hoʻokolohua. Replicate ka Classic Hawaiian maʻi, Kauaikép hoʻokolohua, ma Tversky and Kahneman (1981) . Hana ko oukou mau hualoaʻa ń Tversky, a me Kahneman ke? Hana ko oukou mau hualoaʻa ń Berinsky, a me nā hoapili? He aha-ina mea-aole i keia ao mai ia kakou i ka hoʻohana 'ana Mechanical Tureke no ka anamanaʻo ho okolohua?

  2. [ meakino , koʻu punahele ] Ma ka kekahi elelo-ma-papalina pepa me ke kuleana "Ua e waele Up," ka nohona psychologist Robert Cialdini, kekahi o nā mea kākau o Schultz et al. (2007) , palapala hou aku la ia i kona hoʻomaha loa 'kakahiaka mai o kona' oihana e like me ke Kumu, i hapa no ka mea, o na hana nui loa ia oiaʻalo hana kula hoʻokolohua ma ka hoʻoponopono 'ana i (psychology) ka meaʻano nui e lawelawe ai Keʻena ho okolohua (Cialdini 2009) . Heluhelu mai o Cialdini ka pepa, ae kakau iho la ia ia i leka uila hoolale ia ia e noonoo i konaʻoluʻolu o-up, ma ka malamalama o na nā papaha o kikohoʻe hoʻokolohua. E hoʻohana i ho'ākāka examples o ka noiʻi 'ana e hoʻoponopono' ana i kona mau pili.

  3. [ meakino ] I mea e ike ai i ko ka poe liilii, ka loiloi mua successes ka laka-i a mae aku, van de Ka Rijt, a me nā hoapili (2014) intervened i ehaʻokoʻa nenoai i hoʻohanohano ka pomaikai ma randomly wae i komo, a laila ana aʻela i ka loihi-manawa ka hopena o keia ākeʻakeʻa kumu i ka pomaikai. E hiki anei ia oukou ke manao a pau o na nenoai, ma ka mea o oukou e hiki holo like ia mea? Loiloi i keia mau nenoai ma ka olelo o na kumuhana o ka 'epekema waiwai, algorithmic hoopalaimaka hoi (e nānā MOKUNA 2), a me ethics.

  4. [ meakino , ikepili ohi ] Na hopena o ka ho okolohua ke hilinaʻi maluna o ka poe i komo. Ho okumu i ka hoʻokolohua, a laila, e holo aku ia mea ma Amazon Mechanical Tureke (MTurk) hoʻohana eluaʻokoʻa Recruitment papa kōnane. E ho'āʻo e koho i ka hoʻokolohua, a me Recruitment papa kōnane i nā hualoaʻa, e like me ka okoa e like me ka hiki. No ka mea, laʻana, ko oukou Recruitment papa kōnane o ke lilo e Imi i komo i loko o ke kakahiaka, a me ke ahiahi paha, e compensate i komo i ke kiekie a me ka haahaa uku. Keia ano o na oko ma ka Recruitment hoʻolālā hiki alakai i okoa loko o nā komo, a okoa mana nā haumāna. Peheaʻokoʻa i ko oukou mau hualoaʻa huli mai? Heaha ka mea i hōʻike i holo hoʻokolohua ma MTurk?

  5. [ nui , pono makemakika , pono coding , koʻu punahele ] Imagine i oe i hoʻolala i ka 'ehaʻeha o Contagion hoʻopaʻa (Kramer, Guillory, and Hancock 2014) . E hoʻohana i nā hualoaʻa ma ka mua observational study e Kramer (2012) e hooholo i ka nui o na i komo iloko o kela a me keia ano. O keia mau haʻawina e 'aʻohe lea pela e paa ai explicitly helu i na assumptions a pau ia oukou hana.

    1. Hoʻoholo i ke kauoha a pau e hoʻoholo i ka nui i komo e ua pono e huai ae i keia e like me ka nui e like me ke kanawai ma Kramer (2012) me \ (\ Alpha = 0,05 \) a \ (1 - \ mana = 0,8 \).
    2. Hana ia i ka ho omaulia analytically.
    3. Haawi mai i na hualoaʻa mai Kramer (2012) ua 'ehaʻeha o Contagion (Kramer, Guillory, and Hancock 2014) ma luna o-mana (' o ia hoʻi, i ka mea i oi aku i komo mamua pono)?
    4. O na assumptions a oukou i hanaʻi, i loaa i ka nui kanawai maluna o oukou i ka ho omaulia?
  6. [ nui , pono makemakika , pono coding , koʻu punahele ] E pane i ka nīnau luna, akā, ma mua o ka hoʻohana 'ana i ka mua observational study e Kramer (2012) e hoʻohana i nā hualoaʻa ma ka mua maoli hoao e Coviello et al. (2014) .

  7. [ oluolu ] Ua Rijt et al. (2014) , a me Margetts et al. (2011) na hana ho okolohua e noiʻi i nā kaʻina hana o nā kānaka pūlima 'ana o ka palapala hoopii. Hoohalike ae Akä naÿe i ka manao a me ka hoʻoholo 'ana o kēia mau haʻawina.

  8. [ oluolu ] Dwyer, Maki, and Rothman (2015) alakai elua mahinaʻai ia mea ma luna o ka pilina ma waena o lawelawe kūmau a me proenvironmental 'ana. Eia ka Hōʻuluʻulu Manaʻo o ko lakou pepa.

    "Pehea ke psychological 'epekema, e hoʻohana' ia e paipai i proenvironmental 'ana? Ma haʻawinaʻelua, uao ai 'nona ka paepaeʻana ikehu mālama' ana i loko o ka make up hookolokolo aku la ia i na ololi o ka ho'ākāka kūmau a me nā kuleana pilikino. In Study 1, ua manipulated ka malamalama kūlana ( 'o ia hoʻi, ma ka pā) ma mua o kekahi komo i unoccupied lehulehu up, signaling i ka ho'ākāka kūmau no ka mea okoʻa no ka manawa. I komo ua me ka nui loa aku e kiʻi mai ia hoohuli i na kukui aku ina lakou i aku la, ia lakou i komo. In Study 2, he hou ana i loko o ka mea a ke kūmau o ka huli aku i ka malamalama, ua hōʻikeʻike ma ke hui pu oe; aka, aole i komo i iho ke kuleana o ia huli hou aku ai ia. 'Auamo kuleana' oʻoleʻa lōpū ka ae ole o ka lawelawe kūmau ma ka lakou hana ana; i ka wa i komo i ole ke kuleana o ia huli i ka malamalama, ua emi iho ka ae ole o ke kūmau. Keia mau hualoaʻa hoike i ho'ākāka kūmau a me ka auamo i ke kuleana e no ka laulā o proenvironmental uao ai '. "

    Heluhelu mai o ko lakou mau pepa, a manao kekahi replication o ka mahele 1.

  9. [ meakino , ikepili ohi ] Kukulu ana i ka ninau mua, Ano e lawe aku i kou mea i manao ai.

    1. Pehea la hoi i na hualoaʻa hoohalike?
    2. He aha ke wehewehe i keia mau oko ao?
  10. [ meakino ] He Ua nui loa ka hoopaapaa e pili ana ia mea hoʻohana i komo pūʻali koa i mea mai Amazon Mechanical Tureke. Iloko o laua, he ua no hoi i lula hoopaapaa e pili ana ia mea hoʻohana i komo pūʻali koa i mea mai ka lae pua haumana populations. E kakau iho i ka elua-ʻaoʻao Memo hoʻohālikelikeʻia a me contrasting i na Turkers a me na laepua, a pēlā e like me noiʻi i komo. Ko oukou nane e komo i loko o ke kūkāʻana o ka poe akeakamai, a me logistical nīnūnē.

  11. [ oluolu ] Jim Manzi ka puke kipi (2012) He kupanaha pōkole i loko o ka mana o ke experimentation ma ka hana. I loko o ka pukeʻo ia lâkou i kēia moʻolelo.

    "I ua manawa ma ka halawai me kaʻoiaʻiʻo hana ano akamai, i ka pakiko, i billionaire i ka hohonu, intuitive understating o ka mana o ia mea. Kona mau hoa a pau keia la nui waiwai e ho'āʻo ana e ho okumu nui loa window hōʻike 'ia ka mea e,ʻo nā mea kūʻai mai, a piʻi pū kuai, e like me kaʻike mau akamai i olelo ai lakou e hana. Mākaukau pono ho'āʻo manao mahope iho o ka manao, a me kanaka ho'āʻo wiki kau ma luna o kekahi manawa o ka makahiki i hōʻike aole nui causal kanawai o kela a me keia hou hōʻike 'ia nei manao maluna kuai. Halawai papa kiʻekiʻe ke kūʻai akuʻana, a me merchandising Hoʻokō no me ka CEO e nānā i kēia mau moʻolelo ho'āʻo nā hualoaʻa ma ka toto. Ma hope o ka hōʻike a pau o ka mana ikepili, aole lakou i manao ai, i kaʻike mau akamai, ua hewa-ka mea e puka hōʻikeʻike e hookuke kuai. Ko lakou waiho 'ana i ka ho'ēmi i na koina, a me ke kākoʻo' ana i loko o kēia wahi. Keia dramatically i hōʻike ai i ka hiki ana o experimentation e hoʻohulihuliʻike mau ka naʻauao. Ka CEO ka pane, ua ano: 'koʻu hopena, aole i ko oukou mau poʻe akamai, ua maikai loa. " Kona pāʻoihanaʻo e mahuahua ho'āʻo i ka mea make manao, a no ka loaa hou poʻe kānaka e hana ia mea. " (Manzi 2012, 158–9)

    Ka meaʻano o validity oia i ka manao o ka CEO?

  12. [ oluolu ] Kukulu ana i ka ninau mua, manao wale ai ia oukou ma ka ke anaina kanaka, kahi o nā hualoaʻa o nā hoʻokolohua, ua kūkākūkā. He aha he eha nīnau a pau ia oukou ke noi, hookahi no kela a me keia ano o ka validity (ana helu,? Ieoaeunoai, na, a mawaho)?

  13. [ oluolu ] Bernedo, Ferraro, and Price (2014) Pilikanaka ka ehiku-makahiki kanawai o ka wai olaʻi kākoʻo a kōkua i ho'ākāka 'ia i loko o Ferraro, Miranda, and Price (2011) (nānā i ke Kii 4.10). Ma keia pepa, a imi Bernedo, a me nā hoapili e hoomaopopo i keʻano papa hana ma hope o ke kanawai, ma ke kapakai i ka hana o ka hale, i loaa ole, a ua neʻe akula ma hope o ka hana, ua haawiia. Oia hoi,'ōlelo koʻikoʻi akula, lakou i hoao ai e ike ina ka lapaau hopena i hōʻikeʻia ka home ai 'ole ka homeowner.

    1. E heluhelu i ka pepa, e wehewehe i ko lakou manao, a hōʻuluʻulu i ko lakou hopena. b) anei ko lakou mau mea, ua ulu hopena pehea oe e Loiloi i ka waiwai e lilo aku-laulā o like uao ai '? Ina pela, no ke aha la? Ina aole, no ke aha la aole?
  14. [ oluolu ] Ma ka pane i Schultz et al. (2007) , Schultz, a me nā hoapili hana i ka moʻo o ekolu hoʻokolohua ma ke kanawai o ka ho'ākāka, a me injunctive kūmau ma ka okoa? Aneie 'ana (kawele hoʻohana hou') i elua ma mua, (a Hotel, a me he timeshare Condominiums) (Schultz, Khazian, and Zaleski 2008) .

    1. Hōʻuluʻulu i ka manao a me ka haʻina o keia mau mea ekolu ia mea.
    2. Pehea, ina i na mea a pau, e hana lakou i hoʻololi i ko oukou hoomaopopo ana o Schultz et al. (2007) ?
  15. [ oluolu ] Ma muli o Schultz et al. (2007) , Canfield, Bruin, and Wong-Parodi (2016) Holo aku la kekahi moʻo o ke Keʻena-e like me ho okolohua e noiʻi i ka manao o ka pila bila. Eia ko lakou kakau ia mea i loko o ka Hōʻuluʻulu Manaʻo:

    "Ma kekahi anamanaʻo-Aʻo hoʻokolohua, kela mea keia mea i komo i ike i kekahi mea hypothetical uila bila no ka ohana, me kŘpa a kiekie uila ana, e uhi ana i 'ike e pili ana (a) Land ana, (b) like me kā i ka hoalauna, a me (c) mōʻaukala hoʻohana me ka mea hāpai mīkini breakdown. I komo i ike ai i na mea a pau ike ano iloko o kekahi o ekolu kūmole like me (a) papa, (b)ʻaukā pālākiō, a me (c) ikona mau pakuhi. Makou hoike ma ka papa kuhikuhiE haʻina ekolu. Mua, nā mea kūʻai mai hoʻomaopopo kela a me keia ano o ka uila-i 'ike i ka nui i ka wa ia i hōʻike ia ma ka papaʻaina, paha no ka papa kōkua alodio welau heluhelu. Lua, ana kāu mau koho a me na manao e hoola uila i ka ikaika no ka Historical hana ike, kuokoa o format. Kolu, hoomaopopo kanaka me ka haʻahaʻa ikehu literacy a pau 'ike emi iho. "

    Like na ukali 'ia aku haʻawina, ke kumu hope o ke kuleana iloko o Canfield, Bruin, and Wong-Parodi (2016) ua hoike lakou hana ana, aole maoli' ana. He aha hoʻi ka ikaika a me ka nawaliwali a pau o keia ano o ke kuka nei lakou i loko o ka noiʻi polokalamu hoʻomāhuahua ka paepaeʻana ikehu makauliʻi?

  16. [ meakino , koʻu punahele ] Smith and Pell (2003) He satirical meta-Ka Ikepili haʻawina hōʻike i ka laulā o parachutes. Lakou i manao:

    "E like me ka nui uao ai 'manao e pale mai ola, ka laulā o parachutes i ole ia i koiia mai e rigorous loiloi ma ka hoʻohana' ana i kekahi lāʻau 'randomized e hookolokolo ai. Uwao o ka mea hoike ma muli lapaau, ua nema aku i ka hookamaia o uao ai 'ana kūpono ma ka hoʻohana' ana i observational wale aeaiiuo. Makou manao nei e pono ai a pau, ina i hoʻonohonoho 'ia i ka mea radical protagonists o ka hoike aʻo kahua lapaau, a komo i loko o ka waʻa makapo, randomized, placebo uumi, crossover hookolokolo o ka parachute. "

    E kakau iho i ka Kaiaulu-ana pono i ka nui readership nupepa, e like me ka New York Times, arguing ana i ka fetishization o ka papa hana hoike. E hoomakaukau i kekahi, pōhaku puna examples. , Hoʻomaoe, E nānā hoʻi, Bothwell et al. (2016) , a me Deaton (2010)

  17. [ meakino , pono coding , koʻu punahele ] Oko-i-oko ao estimators o ka hana hookoia hiki e oi aku mamua o kūlike loa oko-i-kaulana estimators. E käkau i kekahi Memo i ka engineer ma ka malama o A / B ikea ma ka hoʻomaka-up nohona Media poe wehewehe i ka waiwai o ka like ole-ma-oko ao ua kokoke no e holo mai ana i online no hoʻokolohua. Ka Memo e komo i kekahi hoakaka o ka pilikia, kekahi kilo e pili ana i ke kūlana o ka i ka likeʻole, i loko o-like estimator e outperform i ka likeʻole, i loko o-kaulana estimator, a me ka hemahema hoi Nā kauoha mahele.

  18. [ oluolu , koʻu punahele ] Gary Loveman he Kumu ma Harvard Business Kula ma mua o lilo i ka CEO o Harrah ke, kekahi o nā manaʻo nui loa Hale Piliwaiwai poʻe i loko o ke ao nei. I kona neʻe 'o ia Harrah ka, Loveman iho me ka lehulehu a me ka pinepine flier-e like aloha papahana i ohi weliweli dala o ka' ikepili Customer 'ana. Ma luna o kēia mau-ma ana nenoaiu, hoomaka ae la ka poe holo hoʻokolohua. No ka mea, laʻana, hiki ia lakou ke holo i ka ho okolohua e loiloi i ke kanawai o ke coupon no ka paa ole Hotel po no nā mea kūʻai mai, me ka maopopo piliwaiwai kumu. Eia ko Loveman ho'ākāka 'ia ma ka nui o ka experimentation i Harrah ka maʻamau o pāʻoihana hana;

    "O e like me oukou i hana ino aku i nā wāhine,ʻaʻoleʻoe i aihue, a me ka oukou hulina i hiki aku ai i ka hooponopono hui. 'O kēia kekahi o nā mea a pau au e lilo ko oukou' oihana no ka mea, ma Harrah's-aole e holo mai ana i ka mana hoʻomalu ma hui. " (Manzi 2012, 146)

    E kakau iho i ka leka uila i ka hou limahana no ke aha la Loveman manaʻo, he mea no nui e loaa i ka hooponopono pūʻulu wehewehe. Oe e hoao aku ai e komo oukou i kumu hana, ina maoli, a hana aku la, e kahaki i kou wahi.

  19. [ paakiki , pono makemakika ] A hou hoʻokolohua AIM ke hoʻomaopopoʻia ka hopena o ka loaa ana kikokikona olelo hoʻomanaʻo ia ma vaccination uptake. 150? Aaieou, kela mea keia mea me ka 600 kūpono nā mea maʻi, ua ae aku e komo. Aia no he paa na lilo o ka 100 dala no kela a me keia? Aaieou oukou makemake e hana pu, a he koina 1 dala no kela a me keia kikokikona olelo a pau a oukou e makemake ai e hoouna aku. Eia, i kekahi? Aaieou mea a pau au e hana i, e ana i ka hoʻokūkū (ina mea i loaa i ka vaccination) for free. Kuhi ia oukou i kekahi Bedroom o 1000 dala.

    1. Malalo o na hana hea ia ia e aho e kālele ana i ko oukou waiwai ma luna o kekahi poe he uuku o? Aaieou, a ma lalo iho o na hana hea ia ia e aho e hohola iho lākou ma nā kaiāulu?
    2. He aha kumumea e hooholo i ka huna uuku nui ia ia oukou, e lilo e hiki ia ia ke reliably huai ae me ko oukou Bedroom?
    3. E käkau i kekahi Memo wehewehe keia mau oihana-mua aʻe nei i kekahi ikehu funder.
  20. [ paakiki , pono makemakika ] He nui pilikia me online, papa, he attrition; he nui nā haumāna i hoʻomaka nā papa ana i ka wā i hāʻule-mai. Manao wale ia oukou e hana i ka online, aʻo paepae, a me he mea akamai i ka anuu i hana i ka pilikia makapō holomua hookolokolo a pau āna i manaʻo e kōkua pale haumāna mai e kahe mai ana mai loko mai o ka papa. Oukou makemake e hoao i ka hopena o ka holomua hookolokolo ma luna o nā haumāna i loko o ka nui computational nohona nauka papa. Mahope iho o kamaʻilio akula i kekahi ethical nīnūnē i ke ka haohao ana iloko o ka hoʻokolohua, oe, a me ko oukou mau nā hoapili e nui kou manaʻo a pau o ka papa i ole, ua lawa nä haumäna e reliably huai ae i na ona o ka holomua hookolokolo. Ma ka helu ma lalo o oukou ke kuhi i ka hapalua o na haumana, e loaa i ka holomua hookolokolo a me ka hapalua ole. Eia, e hiki kuhi aole he 'ākeʻakeʻa. Iloko o na olelo, e hiki kuhi ia i komo i wale no loli ana e paha lakou i loaa i ke kanaka ana; lakou, aole like me ia e paha kekahi poe kanaka i loaa ka iapaau ana a hooponopono (no ka mea, he oi aku ka olelo ho'ākāka 'ana, ike Gerber and Green (2012) , Ch: 8). Eʻoluʻolu, e malama Track o kekahi mau assumptions ka mea a oukou e hana.

    1. Manao i ka holomua hookolokolo, ua manaoia e hoomahuahua i ka like ana o ka haumāna e hoopau i ka papa ma ka 1 pakeneka wahi, heaha ka laʻana nui e pono e reliably huai ae i ke kanawai?
    2. Manao i ka holomua hookolokolo, ua manaoia e hoomahuahua i ka like ana o ka haumāna e hoopau i ka papa ma ka 10 pakeneka kumu, heaha ka laʻana nui e pono e reliably huai ae i ke kanawai?
    3. Ano, ke manao wale nei au, ua holo ka hoʻokolohua, a me nā haumāna i pau i ka holo ana pono i lawe i ka hōʻike hope loa. I ka wa a oukou e hoohalike ai i ka hope loa hōʻikeʻai o nā haumāna i loaa i ka holomua hookolokolo i ka poe i i ole, e loaa ia oe, he nui no ko oukou kähähä, i nā haumāna i loaa ole i ka holomua hookolokolo maoli ua eo kiekie. No anei keia aha i ka holomua hookolokolo i nä haumäna e aʻo emi iho? mai keia hoʻokūkū 'ike i ka mea e hiki ai ia oukou aʻo? (, Hoʻomaoe: See Gerber and Green (2012) 7, Ch.)
  21. [ nui , pono coding ] Ma ka lokomaikai pepa, Lewis and Rao (2015) vividly kahaki i kekahi kumu ana helu i kaupalena 'o ke ahiahi papakaukau hoʻokolohua. I ka pepa-a mua i ka provocative inoa "I ka Near-impossibility o Ana i na, i hoi mai a hiki i hoʻolaha" -shows i ka paʻakikī he mea e ana ai i ke hoʻi ma ka waiwai kūʻai o online, hoʻolaha, a me ka kikohoʻe ho okolohua pili i miliona o na nā mea kūʻai mai. More nui, me ka pepa akaka hōʻike i ia mea paakiki i ke kiÿeleo liilii lapaʻau kanawai waena konu o walaʻau hoʻokūkū aeaiiuo. A olelo diffently, ka pepa hōʻike i ka manaʻo lapaʻau 'ole e loaa nui ka wiwo oleʻanuʻu i ka wa o ka hopena-i-hae-deviation (\ (\ frac, \ aaeuoa \ hookolokolo {y me}}, \ sigma} \)) lākiō he uuku. Ka nui loa haʻawina o kēia pepa no ka hualoaʻa mai ho okolohua me ka mea uuku hopena-i-hae-deviation hiʻohiʻona (e like me, Lahairoi o ka MH paipai aʻo kai eʻe) e unsatisfying. Kou hana nui loa ia e lilo i ka palapala i Memo no ka mea, ma ka ke kūʻai akuʻana Oihana o ko oukou poe evaluting i? Oaony hoʻokolohua e ana i ka punawai Lahairoi o ka a kai eʻe. Ko oukou Memo e kākoʻo i ka pakuhi no nā hualoaʻa o ka kamepiula Nā kauoha.

    Eia kekahi kāʻei kua 'ike i ia oukou ke pono. A pau o keia laulā cia, ua KOLOHE o ka maoli ho okolohua hoike ma Lewis and Rao (2015) :

    • Lahairoi, he ki metric no ka mea, online, a paipai aʻo kai eʻe, ua ho'ākāka 'ia e lilo i ka upena waiwai, mai ke kai eʻe (waiwai nui mai ka moho hua he o ke kai eʻe) puunaueia ma ka lilo ana o ka moho. No ka mea, kumu, he kai eʻe mea, aohe kanawai maluna kuai ana e loaa he Lahairoi o -100%, a me ke kai eʻe kahi he ua loaʻa, ua like pu ia me na koina e loaa he Lahairoi o 0.

    • ka ia hoʻi, ke kuai o ka Customer he $ 7, me ka hae deviation o $ 75.

    • ke kai eʻe ua manaoia e mahuahua kuai ma $ 0,35 no Customer i hoʻopili like i ka mahuahua ma ka pono o ka $ 0,175 no Customer. Ma kekahi olelo, ke margin loa he 50%.

    • ka oaony ka nui o ka hoʻokolohua, he 200.000 kanaka, hapalua ma ka lapaau hui a me ka hapalua ma ka mana hui.

    • na lilo o ke kai eʻe he $ 0,14 no i komo.

    E käkau i kekahi Memo evaluting keia hoʻokolohua. E oe Meu paneʻe keia hoʻokolohua e like me oaony? Ina pela, no ke aha la? Ina aole, heaha mea hou e oe paipai aku?

    A maikai Memo, e kamaʻilio i kēia ho'ākāka 'ia hihia; he maikai Memo e generalize mai keia hihia ma kekahi aoao (e like me, hoike aku i ka olelo hooholo hou e like me ka hana ana i ka hopena, e-hae-deviation hiʻohiʻona); a he Memo nui, e haawi aku i ka maopopo generalized hopena.

  22. [ nui , pono makemakika ] Hana i ka ia e like me ka ninau mua, akā, ma mua Nā kauoha oe e hoʻohana i analytic hualoaʻa.

  23. [ nui , pono makemakika , pono coding ] Hana i ka ia e like me ka ninau mua, aka, ho ohana i ke kauoha a me ka analytic hopena.

  24. [ nui , pono makemakika , pono coding ] Imagine ka mea, ua kākauʻia ka Memo ho'ākāka 'ia ma luna nei-ka hoʻohana' ana kekahi Nā kauoha, analytic hualoaʻa, a 'elua, a me kekahi mai ka ke kūʻai akuʻana' Oihana i ke heluhelu hoʻohana 'ana i kekahi oko-i-oko ao estimator mamua o ka oko ao ka mea estimator (e nānā i ka Pauku 4.6.2) . E käkau i ka hou pōkole Memo wehewehe ana he 0,4 correlation ma waena o kuai ana i mua o ka hoʻokolohua, a kuai ma hope o ka ho okolohua e hoololi i ka hopena.

  25. [ paakiki , pono makemakika ] I mea e loiloi i ka laulā o ka hou pūnaewele ke aʻo 'oihana hana, he kulanui' oihana lawelawe oihana lawelawe 'ia ka randomized mana hookolokolo mawaena o 10,000 nā haumāna e komo ana i ko lakou makahiki hope loa o ke kula. A me Hoʻomoe me nā log-ma ka ike, ua hoouna aku la ma ka exclusive leka uila kono aku i 5,000 o ka randomly koho ka haumāna, i ka kekahi 5,000 haumāna i loko o ka hooponopono hui, a aole hoi he Hoʻomoe. Heʻumikumamālua mau mahina ma hope, he hope-up anamanaʻo (me kekahi ole-pane) hōʻike ia ma na ka iapaau ana a me ka hooponopono pūʻulu, 70% o na haumana, ua loaa piha-manawa hana ma ko lakou wae kula (Oaaeeoea 4.5). Pela, nani ia o ka pūnaewele puni honua ke aʻo kahua hana, aohe kanawai.

    Eia naʻe, he akamai aeaiiuo nä känaka 'epekema ma ke kula nui nana aku i ka' ike, he iki hou pili loa, a loaa ia wale 20% o nā haumāna i loko o ka iapaau ana pūʻulu loa ua paʻaʻia i loko o ka mooolelo mahope iho o ka loaa ana o ka leka uila. Eia, a me kekahi mau mea surprisingly, mawaena o ka poe i ua paʻaʻia i loko o ka punaewele wale 60% i hoʻopaʻa piha-manawa hana ma ko lakou wae kula, oia ma lalo o ka uku no ka poʻe kānaka a pau i ole 'ia Eʻeʻe a ma lalo o ka uku no na kanaka, ma ka hooponopono ano (Oaaeeoea 4.6).

    1. E hoʻolako i wehewehe no ka mea ia, ua hiki.
    2. He aha he elua naʻano likeʻole, e hoʻomaulia i ka hopena o ka hana i loko o kēia ho okolohua?
    3. Haawiia mai keia hopena, e ke kulanui 'oihana hana hoolako i kēia pūnaewele puni honua-Aʻo' oihana hana i nā haumāna a pau? Wale no e maopopo, o keia ka mea, aole he ninau, me he mea pane.
    4. He aha e lakou e hana e hiki mai ana?

    , Hoʻomaoe: keia ninau hele ma kēlāʻaoʻao o ka mea uhi i loko o kēia mokuna, aka, helu kuhi henua aʻe, he pono ole i ka ho okolohua. Keiaʻano o ka hana ho'āʻo ua i kekahi manawa kapaʻia he oluolu manao no ka mea i komo i hooluoluia mai ai e komo iloko o ka iapaau ana. Keia pilikia,ʻaʻole he laʻana o ka mea i kapaia kekahi kapakahi ole-kaʻaeʻana (nānā Gerber and Green (2012) , Ch. 5)

  26. [ paakiki ] Ma hope hou ninaninau, ua huli aku i ka ho okolohua i ho'ākāka 'ia i loko o ka ninau mua, ua hiki aku complicated. It huli aku i ka 10% o na kanaka, ma ka mana hui uku no ke kōkua o ke ka lawelawe, a pau lakou i me ka hana uku o 65% (Oaaeeoea 4.7).

    1. E kakau iho i ka leka uila hōʻuluʻulu i ka mea a oukou e manao, ke aha, ae waiho i ka papa o ka hana.

    , Hoʻomaoe: keia ninau hele ma kēlāʻaoʻao o ka mea uhi i loko o kēia mokuna, aka, helu kuhi henua aʻe, he pono ole i ka ho okolohua. Keia pilikia,ʻaʻole he laʻana o ka mea i kapaia elua kapakahi ole-kaʻaeʻana (nānā Gerber and Green (2012) , Ch. 6)

Papa 4.5: Simple a nayce n 'ikepili mai ka' oihana lawelawe hoʻokolohua.
Group Size hana ana
I haawiia ke kōkua o ke punaewele 5,000 70%
Aole i haawiia ke kōkua o ke punaewele 5,000 70%
Papa 4,6: More piha a nayce n 'ikepili mai ka' oihana lawelawe hoʻokolohua.
Group Size hana ana
I haawiia ke kōkua o ke punaewele, a ua paʻaʻia ma loko o 1,000 60%
I haawiia ke kōkua o ke punaewele, a aole loa ua paʻaʻia ma loko o 4,000 85%
Aole i haawiia ke kōkua o ke punaewele 5,000 70%
Papa 4.7: Full a nayce n 'ikepili mai ka' oihana lawelawe hoʻokolohua.
Group Size hana ana
I haawiia ke kōkua o ke punaewele, a ua paʻaʻia ma loko o 1,000 60%
I haawiia ke kōkua o ke punaewele, a aole loa ua paʻaʻia ma loko o 4,000 72,5%
Aole i haawiia ke kōkua o ke punaewele ae uku ia no ka mea, 500 65%
Aole i haawiia ke kōkua o ke punaewele, a aole i uku no ka mea, 4.500 70,56%